Recent advances have given rise to a spectrum of digital health technologies that have the potential to revolutionize the design and conduct of cardiovascular clinical trials. Advances in domain tasks such as automated diagnosis and classification, synthesis of high-volume data and latent data from adjacent modalities, patient discovery, telemedicine, remote monitoring, augmented reality, and in silico modelling have the potential to enhance the efficiency, accuracy, and cost-effectiveness of cardiovascular clinical trials. However, early experience with these tools has also exposed important issues, including regulatory barriers, clinical validation and acceptance, technological literacy, integration with care models, and health equity concerns. This narrative review summarizes the landscape of digital tools at each stage of clinical trial planning and execution and outlines roadblocks and opportunities for successful implementation of digital tools in cardiovascular clinical trials.

中文翻译：

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用于设计和执行心血管临床试验的人工智能和数字工具


最近的进展催生了一系列数字健康技术，这些技术有可能彻底改变心血管临床试验的设计和实施。自动化诊断和分类、来自相邻模态的大量数据和潜在数据合成、患者发现、远程医疗、远程监测、增强现实和计算机建模等领域任务的进步有可能提高心血管临床试验的效率、准确性和成本效益。然而，这些工具的早期经验也暴露了重要问题，包括监管障碍、临床验证和接受、技术素养、与护理模式的整合以及健康公平问题。本叙述性综述总结了临床试验规划和执行每个阶段数字工具的前景，并概述了在心血管临床试验中成功实施数字工具的障碍和机会。